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A Student's Guide to Python for Physical Modeling by Jesse M. Kinder, Philip Nelson PDF

By Jesse M. Kinder, Philip Nelson

ISBN-10: 0691170509

ISBN-13: 9780691170503

Python is a working laptop or computer programming language that's quickly becoming more popular through the sciences. A Student's advisor to Python for actual Modeling goals that will help you, the coed, train your self adequate of the Python programming language to start with actual modeling. you'll set up an open-source Python programming surroundings and use it to complete many universal medical computing initiatives: uploading, exporting, and visualizing facts; numerical research; and simulation. No past programming adventure is assumed.

This educational makes a speciality of basics and introduces a variety of invaluable concepts, including:

  • Basic Python programming and scripting
  • Numerical arrays
  • Two- and third-dimensional graphics
  • Monte Carlo simulations
  • Numerical tools, together with fixing usual differential equations
  • Image processing
  • Animation

Numerous code samples and exercises--with solutions--illustrate new principles as they're brought. Web-based assets additionally accompany this consultant and comprise code samples, info units, and more.

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Extra resources for A Student's Guide to Python for Physical Modeling

Sample text

Then, y=x**2 or y=x*x gives you what you want. This is not true of Python’s native list objects. It is one reason why NumPy arrays are more useful for numerical work. Execute the following commands to see why we do not use Python’s list data structure: 5 x 2 x x x = * + * - [1, 2, 3, 4, 5, 6] x 2 x x Python’s list objects are useful in many computing applications, but fast mathematical calculation on large collections of numbers is not one of them. We can now finish explaining the example at the start of this section.

Variable names are case sensitive, so inconsistent case is a form of spelling mistake. For example, if you define myVelocity=1 and later attempt to use myvelocity, Python treats the second instance as a totally new, undefined variable. Scanning the Variable Explorer can help you find such errors. Another common cause of NameError is forgetting to prefix a function name with the name or nickname of the module containing it. Runtime errors generate messages in the IPython console when you run the code.

Unlike standard math usage (where it does not make sense to add a vector and a scalar together), Python interprets this as a request to create a new array, in which the entry indexed by k is equal to b**2 - 4*a[k]*c. That is, addition and subtraction of an array and a scalar are also evaluated item by item. 3. sqrt function as an argument. NumPy’s square root function will accept a single number, but like many functions in the NumPy module (including sin, cos, and exp), it can also act on an array.

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A Student's Guide to Python for Physical Modeling by Jesse M. Kinder, Philip Nelson

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